Site Reliability Engineer
Harvey Nash
New York, NY, United States
18 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$200,000.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Backup Devices
Cloud Computing
Continuous Integration
Data Infrastructure
DevOps
Programming Tools
Disaster Recovery
Amazon DynamoDB
Github
Python (Programming Language)
+11 more
PostgreSQL
Reliability Engineering
Software Engineering
Workflow Management Systems
Datadog
Scripting
Cloud Platform System
Snowflake
AWS Fargate
Terraform
Docker
Requirements
individual contributor role focused on Site Reliability Engineering with a strong software engineering mindset.
Terraform experience is critical and must be hands on.
Scripting and automation experience are important.
Ask candidates how much they use Terraform directly and what Scripting or automation they do.
- 6+ years of software engineering experience, including 3+ years in DevOps, platform engineering, or cloud infrastructure.
- Strong ownership mindset, with experience building operational maturity, standards, and scalable systems rather than simply maintaining existing infrastructure.
- Comfortable working across cloud infrastructure, CI/CD, developer tooling, data infrastructure, and application support.
Strong experience with:
- AWS, including Fargate, Lambda, Step Functions, and related services
- Terraform and Infrastructure as Code
- Python 3
- Postgres (RDS/Aurora) and DynamoDB, including HA, backups, disaster recovery, and migrations
- Snowflake or a similar cloud data platform
- Docker and containerized workflows
- Workflow orchestration tools, particularly Temporal (also Airflow or similar). - Familiarity with HIPAA and SOC 2 compliance processes.
- Datadog for monitoring, alerting, and tracing
- GitHub and CI/CD, including GitHub Actions
Experience working in a regulated environment such as healthcare or finance, with an understanding of security and sensitive data requirements.
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